• Histogram and Other Aggregate Queries in

    Histogram and Other Aggregate Queries in Wireless Sensor Networks Author s Creator s Nascimento Mario A Ammar Khaled Technical report TR11 03 Wireless Sensor Networks WSNs are typically used to collect values of some phenomena in a monitored area

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  • Model Driven Data Acquisition in Sensor Networks

    2006 7 29 Declarative queries are proving to be an attractive paradigm for in teracting with networks of wireless sensors The metaphor that the sensornet is a database is problematic however because sensors do not exhaustively represent the data in the real world In order to map the raw sensor readings onto physical reality a model of

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  • Complexity of Data Collection Aggregation and

    2019 8 27 Abstract Processing the gathered information efficiently is a key functionality for wireless sensor networks In this paper we study the time complexity message complexity number of messages used by all nodes and energy cost complexity total energy used by

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  • SwissQM Next Generation Data Processing in Sensor

    2021 8 27 wireless network gateway sensor node node root queries SwissQM Figure 1 Sensors nodes are organised in a tree topology with the root node connected to the gate way link to a parent closer to the gateway We also assume there is a single tree although SwissQM is being built to support multiple independent trees and individual node addressing 2

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  • CPSS

    2021 6 24 An Efficient Approach Using Domain Knowledge for Evaluating Aggregate Queries in WSN In Proc 5 th IEEE International Conference on Intelligent Sensors Sensor Networks and Information Processing ISSNIP09 pp 427 432 December 2009 Melbourne

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  • Robust Management of Outliers in Sensor Network

    2007 8 22 Sensor Network Aggregate Queries processing platform over a network consisting of cheap wireless devices that are prone to failures We argue that one cannot simply plications of sensor networks that is not based on individual read ings Instead our

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  • SwissQM Next Generation Data Processing in Sensor

    2021 8 27 wireless network gateway sensor node node root queries SwissQM Figure 1 Sensors nodes are organised in a tree topology with the root node connected to the gate way link to a parent closer to the gateway We also assume there is a single tree although SwissQM is being built to support multiple independent trees and individual node addressing 2

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  • Bloom filter based processing algorithms for the multi

    2014 1 1 1 Introduction The emergence of the wireless sensor networks WSNs Li and Liu 2009 Keung et al 2010 Kermarrec and Tan 2010 Dong et al 2010 Wang et al 2011 has changed the way people collect information from the physical world As the WSNs produce a huge amount of data they can be seen as a new kind of data source and a lot of query processing algorithms Abadi et al 2005

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  • Approximating Sensor Network Queries Using In

    2009 4 19 Our in network summaries aim on using models distributed in the network to make query processing more cost efficient The same objective was tackled by centralized approaches In 8 the BBQ system proposes a model driven scheme to provide approximate answers to queries posed in a sensor network satisfying some information guarantees 20 22

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  • Processing Approximate Aggregate Queries in Wireless

    CiteSeerXDocument Details Isaac Councill Lee Giles Pradeep Teregowda In network data aggregation has been recently proposed as an e#ective means to reduce the number of messages exchanged in wireless sensor networks Nodes of the network form an aggregation tree in which parent nodes aggregate the values received from their children and propagate the result to their own parents

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  • aggregate query processing in wireless sensor network

    Processing approximate aggregate queries in wireless Robust and Efficient Aggregate Query Processing in Wireless sensor networks have been widely used in many applications such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters

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  • ACM SIGSPATIAL GIS 2010

    2010 6 25 ACM SIGSPATIAL GIS 2010 Accepted Papers Accepted Full Papers 36 5 Energy Efficient Processing of Spatio Temporal Queries in Wireless Sensor Networks Markus Bestehorn Karlsruhe Inst of Technology Klemens Böhm Karlsruhe Institute of Technology IPD Erik Buchmann Karlsruhe Institute of Technology IPD Stephan Kessler Karlsruhe Institute of Technology IPD

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  • Kebin Liu

    2012 9 2 Kebin Liu Lei Chen Yunhao Liu and Minglu Li Robust and Efficient Aggregate Query Processing in Wireless Sensor Networks Mobile Networks and Applications Volume 13 Numbers 1 2 Page 212 227 2008 Recent Conferences

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  • Computing Aggregates for Monitoring Wireless Sensor

    2008 4 9 Wireless sensor networks will consist of large numbers of small battery powered wireless sensors Deployed in an ad hoc fashion those sensors will coordinate to monitor physical environments at fine temporal and spatial scales 1 3 Wire less sensor networks will

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  • Dr

    2021 8 9 2021 Zhiyao Li Siru Ouyang Xiaofeng Gao Guihai Chen Two Hop Relay Deployment Based on User Trajectory in Wireless Networks to appear on The Computer Journal 2021 Accepted 08/09/2021 Corresponding Haozhen Lu Xiaofeng Gao Guihai Chen Efficient Crowdsourcing Aided Positioning and Ground Truth Aided Truth Discovery for Mobile Wireless Sensor Networks in Urban

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  • Supporting Aggregate Queries Over Ad Hoc Wireless

    2005 12 5 Supporting Aggregate Queries Over Ad Hoc Wireless Sensor Networks Madden Robert Szewczyk Michael J Franklin and David Culler University of California Berkeley madden szewczyk franklin culler cs rkeley edu Abstract We show how the database community s notion of a generic query interface for data aggregationcan be applied

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  • Processing Precision Constrained Approximate Queries

    2006 2 22 one shot approximate queries for wireless sensor networks Other inspiring work includes querying approximate data over distributed caches and streams Olston et al 13 studied error bounded aggregate queries over distributed data streams An adaptive scheme for precision adjustment at each individual source was proposed to reduce the com

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  • Data Aggregation in Wireless Sensor Network A Survey

    2013 11 12 Wireless sensor networks WSNs consist of sensor nodes These networks have huge application in habitat monitoring disaster management security and military etc Wireless sensor nodes are very small in size and have limited processing capability very low battery power This restriction of low battery power makes the sensor network

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  • CiteSeerX

    CiteSeerXDocument Details Isaac Councill Lee Giles Pradeep Teregowda In this paper we develop an energy efficient approach to processing continuous aggregate queries in sensor networks with bounded quality constraints Specifically we exploit quality aware in network aggregation of query information to reduce communication costs

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  • In Network Execution of Monitoring Queries in Sensor

    2008 3 15 works on query processing in sensor networks have focused on aggregate queries such as COUNT SUM and MAX and have developed in network aggregation techniques that sig nificantly reduce the amount of data transmission Some approximate query processing techniques 7 10 6 5 were also proposed to reduce the cost of data collection while

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  • IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

    2007 10 15 decision support queries that require the aggregation of vast amounts of data covering thousands of peers In addition there is real world value for aggregation queries in network monitoring scenarios such as temperature and anomaly detection in sensor networks 39 Intrusion Detection Systems 26 29 and application signature

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  • Fault Tolerant Clustering Approaches in Wireless Sensor

    2020 1 22 movements many wireless sensor network applications the sensor nodes in different regions can collaborate and aggregate their data to give more accurate reports about their local regions This will save from communication overhead and energy loss

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  • Maximum Lifetime Continuous Query Processing in

    2010 2 7 In wireless sensor networks the notion of in–network processing was first introduced by In tanagonwiwat et al 18 to opportunistically eliminate duplicates in the context of directed diffusion Gehrke and Madden et al 11 15 24 are among the first to integrate query processing and sensor networks so tasking sensor networks can be

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  • Robust Management of Outliers in Sensor Network

    2013 9 14 aggregation process These nodes are called witnesses and provide a form of positive feedback to the user that may help him better comprehend the set of measurements that shape the result to its ag gregate query Our contributions are as follows We present a new resilient execution paradigm for comput ing aggregate queries in sensor networks

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  • TinyDB is a query processing sys

    2005 12 5 Supporting Aggregate Queries Over Ad Hoc Wireless Sensor Networks Workshop on Mobile Computing and Systems Applications 2002 to appear R Madden Query Processing For Streaming Sensor Data Ph D Qualifying Exam Proposal May 2002 R Madden and Michael J

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  • Processing approximate aggregate queries in wireless

    Request PDF Processing approximate aggregate queries in wireless sensor networks Abstract In network data aggregation has been recently proposed as an eective means to reduce the number of

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  • Kostas s Home Page

    2021 1 21 In the Proceedings of the 2006 International Conference on Parallel Processing Workshops ICPP 2006 pp 196 206 Columbus OH August 14 18 2006 Konstantinos Kalpakis Vasundhara Puttagunta and Parag Namjoshi Accuracy vs Lifetime Linear Sketches for Approximate Aggregate Range Queries in Sensor Networks

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  • PDF Aggregate Queries in Wireless Sensor Networks

    Wen Chih Peng This study proposes a method of in network aggregate query processing to reduce the number of messages incurred in a wireless sensor network When aggregate queries are issued to

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  • Cost Efficient Processing of Min/Max Queries over

    2005 3 1 The rapid development in micro sensors and wireless networks has made large scale sensor networks possible However the wide de ployment of such systems is still hindered by their limited energy which quickly runs out in case of massive communication In this paper we study the cost efficient processing of aggregate queries

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  • Processing Event Monitoring Queries in Sensor Networks

    2008 4 19 This is a paradigm of in network processing that can be applied to non aggregate queries as well 7 In this paper we concentrate on building and main taining efficient data collection trees that will provide the conduit to disseminate all data required for processing many concurrent queries in a sensor network including long term

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  • TinyDB An Acquisitional Query Processing System for

    2020 8 10 Acquisitional Query Processing In Sensor Networks 125 Section 6 discusses our adaptive power sensitive model for query execution and result collection 2 SENSOR NETWORK OVERVIEW We begin with an overview of some recent sensor network deployments and then discuss properties of sensor nodes and sensor networks in general provid

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  • Processing Aggregate Queries over Continuous Data

    2004 5 18 New Applications network monitoring sensor networks telecom call records Data arrives in the form of continuous stream Order and rate or arrival not under the control of the system Queries are long running Most assumptions in relational database

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  • Computing Aggregates for Monitoring Wireless Sensor

    2008 4 9 Wireless sensor networks will consist of large numbers of small battery powered wireless sensors Deployed in an ad hoc fashion those sensors will coordinate to monitor physical environments at fine temporal and spatial scales 1 3 Wire less sensor networks will

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  • Complexity of Data Collection Aggregation and

    2019 8 27 Abstract Processing the gathered information efficiently is a key functionality for wireless sensor networks In this paper we study the time complexity message complexity number of messages used by all nodes and energy cost complexity total energy used by

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  • Maximum Lifetime Data Gathering and Aggregation in

    2002 9 16 lifetime data gathering problem in distributed sensor networks when a sen sors are allowed to perform in network aggregation of data packets and b no sensor is allowed to aggregate its data packets with those of another sensor Our solutions are near optimal and can be computed in polynomial time The rest of the paper is organized as follows

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  • iPDA An Integrity Protecting Private Data Aggregation

    sensor networks is the to answer queries about the data ac quired by the sensors Large sensor networks usually generate substantial amounts of data but the sensor nodes are often resources limited or energy constrained Hence it is important to design and develop efficient data processing techniques to make effective use of the data

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  • Wireless Sensor Networks Architecture for Wireless

    2018 4 22 Page 5 Peter A Steenkiste CMU 17 Design Issue Power Management Traditional metrics for network optimization bandwidth latency economics Wireless sensor networks power efficiency Energy efficient routing Load balancing to distribute power consumption In network aggregation to reduce traffic load Minimize up time of sensors Requires new network technologies

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  • In Network Data Processing forWireless Sensor Networks

    2006 5 12 In wireless sensor networks energy is the most crucial resource In network data processing is a common technique in which an intermediate proxy node is chosen to house a possibly complicated data transformation function to consolidate the sensor data streams from the source nodes en route to the sink node We investigate into the placement problem of the proxy We formulate and solve the

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  • New Technologies for Approximate Query Processing

    2013 3 13 The work on aggregation in sensor networks is a colaboration with Laukik Chitnis student funded by this project and Sanjay Ranka The interest for this line of work comes from the fact that the data streaming algorithms readily provide distributed computation algorithms that is useful in performing queries in sensor networks

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  • Approximate Aggregation Techniques for Sensor

    2004 3 22 tention paid to efficient query processing for aggregate queries 15 20 23 In the TAG system 15 users connect to the sen sor network using a workstation or base station directly connected to a sensor designated as the sink Aggregate queries over the sensor data are formulated using a sim ple SQL like language then distributed across

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